Triple
T14201236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Mauritania |
E351967
|
entity |
| Predicate | typeOfStateRepresented |
P15442
|
FINISHED |
| Object | unitary state |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: unitary state | Statement: [Parliament of Mauritania, typeOfStateRepresented, unitary state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStateRepresented Context triple: [Parliament of Mauritania, typeOfStateRepresented, unitary state]
-
A.
typeOfState
chosen
Indicates that one state is a specific kind or category of another, more general state.
-
B.
stateRepresentation
Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status of another entity.
-
C.
namedForStateRepresentation
Indicates that something is named in reference to a specific state’s political or governmental representation.
-
D.
typeOfStatus
Indicates the specific status category or condition that an entity is classified as having.
-
E.
stateRepresentationIncludes
Indicates that a given state representation contains or encodes another specified element, feature, or component within it.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f589a08190b71ad4e69d92ffd0 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.